An extension of two degree-of-freedom of generalized predictive control for M-input M-output systems based on state space approach

Akira Yanou, Akira Inoue, Deng Mingcong, Shiro Masuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes an extension method of two degree-of-freedom generalized predictive control (GPC) for m-input m-output systems by using coprime factorization approach. The extended controller has new design parameter which can change the controller poles without changing the closed-loop poles. And the proposed method reveals the effect of the integral compensation only if there exists modelling error and/or disturbance. Therefore, performance degradation due to an integral compensation, such as a slow response or an excessive control effort, can be avoided when the controlled system has no perturbation.

Original languageEnglish
Title of host publicationSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007
PublisherIEEE Computer Society
ISBN (Print)0769528821, 9780769528823
DOIs
Publication statusPublished - Jan 1 2007
Event2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 - Kumamoto, Japan
Duration: Sep 5 2007Sep 7 2007

Publication series

NameSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007

Other

Other2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
CountryJapan
CityKumamoto
Period9/5/079/7/07

ASJC Scopus subject areas

  • Computer Science(all)
  • Mechanical Engineering

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    Yanou, A., Inoue, A., Mingcong, D., & Masuda, S. (2007). An extension of two degree-of-freedom of generalized predictive control for M-input M-output systems based on state space approach. In Second International Conference on Innovative Computing, Information and Control, ICICIC 2007 [4427961] (Second International Conference on Innovative Computing, Information and Control, ICICIC 2007). IEEE Computer Society. https://doi.org/10.1109/ICICIC.2007.142